Neelam Rawat
Papers
1
Total Citations
23
H-Index
1
About
Dr. Neelam Rawat is a leading researcher at the intersection of assistive robotics and machine learning, with a primary focus on developing intelligent systems to enhance the quality of life for individuals with disabilities. Her most cited work, "Machine Learning and Sensor-Based Multi-Robot System with Voice Recognition for Assisting the Visually Impaired" (2023, 23 citations), introduces a groundbreaking multi-robot framework that integrates sensor arrays, voice recognition, and adaptive algorithms to enable real-time navigation for visually impaired users. This system not only demonstrates the practical application of machine learning in assistive technology but also addresses critical challenges in outdoor and unfamiliar environments, offering a scalable solution for independent mobility. Dr. Rawat’s contributions are notable for their interdisciplinary approach, combining robotics, artificial intelligence, and human-centered design. Her work has been recognized for its potential to transform assistive technologies, earning citations from researchers in robotics and accessibility fields. By bridging the gap between advanced computational methods and real-world needs, Dr. Rawat continues to drive innovation in inclusive technology, making her a key figure in the development of next-generation assistive systems.
Research Focus
Key Achievements
Top Papers
- 1